Geographic Variation in Antidiabetic Agent Adherence and Glycemic Control Among Patients with Type 2 Diabetes
- PMID: 26679968
- PMCID: PMC10398093
- DOI: 10.18553/jmcp.2015.21.12.1195
Geographic Variation in Antidiabetic Agent Adherence and Glycemic Control Among Patients with Type 2 Diabetes
Abstract
Background: Medication nonadherence is an imperative public health concern. Among patients with type 2 diabetes mellitus (T2DM), poor adherence to antidiabetic agents is strongly associated with suboptimal glycemic control. Poor adherence and hyperglycemia greatly increase diabetes-related morbidity and mortality. At a national level, diabetes drug adherence using average proportion of days covered (PDC) is estimated to range between 36% and 81%, with an estimated range for diabetes control between 38% and 47%. At a state level no such studies exist.
Objective: To estimate the level of medication adherence to antidiabetic agents and of diabetes control, and their association among patients with T2DM receiving medication treatment at the state and the Metropolitan Statistical Area (MSA) levels among the populations covered by commercial insurance, Medicare, or Medicaid.
Methods: The study population included adults with T2DM aged ≥18 years who were identified using ICD-9-CM code 250.xx, who received diabetes medication, and who were covered by private insurance, Medicare, or Medicaid in each state, the District of Columbia, and the top 50 MSAs. Medication adherence was measured by average PDC and the percentage of population that had a PDC ≥ 80%. Diabetes control was identified using ICD-9-CM diagnosis codes. Patients who were not diagnosed with uncontrolled diabetes (250.x2 and 250.x3) were identified as being under control. The administrative claims databases used for this study included the 2012 medical and pharmacy claims from a large U.S. health plan, the complete 2011 Medicare Standard Analytical File linked with Part D claims, and the 2008 Mini-Medicaid Analytic eXtract (Mini-Max). Medication adherence and diabetes control were adjusted for age and sex to allow comparison across insurance coverage, states, and MSAs.
Results: For an insured patient population with T2DM that received diabetic drug treatment, average PDC was 79%. However, 35% of patients did not achieve an adherence of at least 80% of PDC. In addition, at least 40% of patients did not have their diabetes under control. Across insurance types, we found that patients insured with Medicare had relatively high average PDC and adherence levels (83% and 71%) in comparison with the commercially insured population (77% and 60%) and Medicaid patients (75% and 57%). In contrast, commercially insured patients had relatively better diabetes control (69%) than those insured with Medicare and Medicaid (54% and 53%, respectively). At a state level, we found that commercially insured and Medicare populations have relatively smaller geographic variation in drug adherence than the Medicaid population.
Conclusions: This study identified gaps in T2DM drug adherence and pinpointed geographic areas that lag in terms of diabetes drug adherence or diabetes control and would benefit from implementing strategies to increase drug adherence.
Conflict of interest statement
Funding for this study was provided by Novo Nordisk, and research work was performed under contract with Novo Nordisk. Members affiliated with Novo Nordisk contributed to the research by giving insight into the data and current diabetic drug prescription practices and commenting on drafts of the manuscript. The sponsor was involved in major revisions but did not have unilateral control of revisions or approval. The University of Maryland received payment from The Lewin Group for the analysis of the Medicare data.
Tan, Yang, and Hogan are employed by The Lewin Group, a research firm that is part of Optum, which is part of UnitedHealth Group. Pang was employed by The Lewin Group at the time of this study.
Study design and concept were contributed by Yang, Hogan, and Tan. Pang took the lead in data collection, along with Dai and Loh, with data interpretation performed primarily by Tan, along with Yang and Pang. The manuscript was primarily written and revised by Tan and Yang, with assistance from Pang and Hogan.
Figures
Similar articles
-
Demographic and Clinical Profiles of Type 2 Diabetes Mellitus Patients Initiating Canagliflozin Versus DPP-4 Inhibitors in a Large U.S. Managed Care Population.J Manag Care Spec Pharm. 2015 Dec;21(12):1204-12. doi: 10.18553/jmcp.2015.21.12.1204. J Manag Care Spec Pharm. 2015. PMID: 26679969 Free PMC article.
-
The Effect of Reduced Drug Copayments on Adherence to Oral Diabetes Medications Among Childless Adults in Wisconsin Medicaid.J Manag Care Spec Pharm. 2019 Dec;25(12):1432-1441. doi: 10.18553/jmcp.2019.25.12.1432. J Manag Care Spec Pharm. 2019. PMID: 31778619 Free PMC article.
-
Type 2 diabetes detection and management among insured adults.Popul Health Metr. 2016 Nov 21;14:43. doi: 10.1186/s12963-016-0110-4. eCollection 2016. Popul Health Metr. 2016. PMID: 27895533 Free PMC article.
-
A scoping review of type 2 diabetes mellitus in Pakistan investigating the status of glycemic control, awareness, treatment adherence, complications and cost.Front Endocrinol (Lausanne). 2024 Nov 22;15:1441591. doi: 10.3389/fendo.2024.1441591. eCollection 2024. Front Endocrinol (Lausanne). 2024. PMID: 39649227 Free PMC article.
-
Patients With Type 2 Diabetes: Anesthetic Management in the Ambulatory Setting: Part 2: Pharmacology and Guidelines for Perioperative Management.Anesth Prog. 2017 Spring;64(1):39-44. doi: 10.2344/anpr-64-01-02. Anesth Prog. 2017. PMID: 28128657 Free PMC article. Review.
Cited by
-
Effectiveness of standardized nursing care plans to achieve A1C, blood pressure, and LDL-C goals among people with poorly controlled type 2 diabetes mellitus at baseline: four-year follow-up study.BMC Fam Pract. 2018 Jul 24;19(1):125. doi: 10.1186/s12875-018-0800-z. BMC Fam Pract. 2018. PMID: 30041600 Free PMC article.
-
Disparities in Initial Oral Antidiabetic Medication Adherence Among Veterans with Incident Diabetes.J Manag Care Spec Pharm. 2018 Apr;24(4):379-389. doi: 10.18553/jmcp.2018.24.4.379. J Manag Care Spec Pharm. 2018. PMID: 29578849 Free PMC article.
-
Assessing the influence of health systems on Type 2 Diabetes Mellitus awareness, treatment, adherence, and control: A systematic review.PLoS One. 2018 Mar 29;13(3):e0195086. doi: 10.1371/journal.pone.0195086. eCollection 2018. PLoS One. 2018. PMID: 29596495 Free PMC article.
-
Impact of Environmental Factors on Differences in Quality of Medication Use: An Insight for the Medicare Star Rating System.J Manag Care Spec Pharm. 2016 Jul;22(7):779-86. doi: 10.18553/jmcp.2016.22.7.779. J Manag Care Spec Pharm. 2016. PMID: 27348278 Free PMC article.
-
Trends and Predictors of Glycemic Control Among Adults With Type 2 Diabetes Covered by Alabama Medicaid, 2011-2019.Prev Chronic Dis. 2023 Sep 14;20:E81. doi: 10.5888/pcd20.220332. Prev Chronic Dis. 2023. PMID: 37708338 Free PMC article.
References
-
- Roebuck MC, Liberman JN, Gemmill-Toyama M, Brennan TA.. Medication adherence leads to lower health care use and costs despite increased drug spending. Health Aff (Millwood). 2011;30(1):91-99. - PubMed
-
- Centers for Disease Control and Prevention. National diabetes statistics report, 2014. Available at: http://www.cdc.gov/diabetes/pubs/statsreport14/national-diabetes-report-.... Accessed October 5, 2015.
-
- Rozenfeld Y, Hunt JS, Plauschinat C, Wong KS.. Oral antidiabetic medication adherence and glycemic control in managed care. Am J Manag Care. 2008;14(2):71-75. - PubMed
-
- Fitch K, Pyenson BS, Iwasaki K.. Medical claim cost impact of improved diabetes control for medicare and commercially insured patients with type 2 diabetes. J Manag Care Pharm. 2013;19(8):609-20, 620a-620d. Available at: http://www.amcp.org/JMCP/2013/2013_October/17214/1033.html. - PMC - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical